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10000 fps 🚀 for 360 Surround-View CUDA Solution

The project refers to AdasSourrondView[3], modified to a cuda-accelerated version.

Reference Repo

index repo info
1 surround-view-system-introduction python verison, refrence repo for 2D avm
2 3d surround-view-system cuda+opengl verison, for 3d avm
3 AdasSourrondView c++ verison

Build And Run

run surround_view.ipynb or nvcc cuda.cu -o cuda -lopencv_core -lopencv_imgcodecs && ./cuda

Result

The code inputs are 4 fisheye camera images, and the stitched image results are as follows. The project utilizes cuda to accelerate the c++ code with a frame rate over 10k.

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10000 fps 🚀 for 360 Surround-View CUDA Solution

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  • Jupyter Notebook 93.9%
  • C++ 4.6%
  • Cuda 1.3%
  • CMake 0.2%